Resource Reliability in Kad

Author

Zhang, Tao ; Lin, Li ; Zhang, Jian-biao

Author_Institution

Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China

fYear

2011

fDate

21-24 Sept. 2011

Firstpage

187

Lastpage

191

Abstract

Poisoned search results are misleading people to download invalid, incorrect or even nonexistent resources in some popular file sharing systems. In order to estimate effects brought by those poisoned results, a dataset about 3 million items were gathered from Kad, including shared resources´ hash values along with related metadata. We analyzed the amount of poisoned results based on the dataset, and revealed zipf-like distributions between number of names and the number of hash values. Besides, we evaluated the indirect effects of poisoned search results through the dissimilarities among names of different hash values having same metadata. The analysis shows that, based on our dataset, audios are the most shared but least poisoned indirectly, videos are the most poisoned directly and indirectly, and other types are indirectly poisoned almost at the same level.

Keywords

file organisation; meta data; peer-to-peer computing; Kad; file sharing systems; poisoned search results; related metadata; resource reliability; shared resources hash values; zipf-like distributions; Distributed computing; Kad; Poisoning; Polluting; Reliability; Resource;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking and Distributed Computing (ICNDC), 2011 Second International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-0407-9

Type

conf

DOI

10.1109/ICNDC.2011.45

Filename

6047132